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5 Tips for Managing Data Science Projects

by Rich Mironov

Data-driven applications are more complicated than most software products, while working with data scientists has some unique challenges. We need to approach these efforts thoughtfully, recognize the patterns, and respect the special talents of each group. Here are five recommendations.

Using Simple Project Data to Make Better Decisions

by Rajakumar Ramakrishnan

Every project has an ample amount of data. It’s at a PM’s discretion to use it effectively. Do statistics and data analytics scare you? In this article, the author shows how very simple statistical concepts can be applied in project situations—and how PMs can make effective decisions based on that.

The Scribe Approach

by Dileep Rajan

As project manager for a newly rebooted team, this author supported its natural drive for a culture emphasizing work order data integrity. A key ingredient for the project’s success was approaching the transformation project through the role of a “scribe.”

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